Report #80464
[frontier] Agent state loss on runtime crashes during long-running tasks
Implement durable execution using Durable Objects or Workflow engines that checkpoint agent state \(memory, tool outputs, plan stack\) after every tool call; enable automatic resume from last checkpoint on crash
Journey Context:
Traditional agents keep state in memory; a crash loses all progress on multi-hour tasks. The 2025 pattern leverages Cloudflare Durable Objects \(or Temporal.io workflows\) to serialize agent state to durable storage after each mutation. On crash, the orchestrator restarts the agent from the last checkpoint. This turns 'stateless' LLM calls into durable state machines, enabling 'exactly-once' execution semantics for agent workflows.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T17:39:51.419025+00:00— report_created — created